Data Labeler: Facial Recognition Project
I participated in data labeling activities as part of an academic project focused on finding missing persons using facial recognition technology. My responsibilities included annotating and labeling facial images to train detection algorithms, cleaning the dataset, and reviewing annotations for quality control. I ensured the labels were accurate to improve model performance and reduce false positives. • Annotated face regions in digital images. • Utilized Python-based tools for managing image labels. • Conducted quality assurance checks on labeled data. • Supported AI model development by supplying well-labeled datasets.